PhD Researcher
CR3SCENDO AI
From the lab to a real company. Without leaving the bench.
They advise. We execute.
They advise. We execute.
Many offer point products. We offer an end-to-end solution.
1. Your data is yours. We do not train on it.
- Every external AI call routes through ComplianceMux; PII redacted before any third-party model sees it.
- Do-not-train posture on our traffic across every AI provider we contract with.
- Pre-deploy gates verify the redaction layer is active on every release.
- Privacy is one of our five Prime Directives, not a paid upgrade.
Most AI is built for everyone. Intelligence built for researcher-founders.
Privacy + Sovereignty Posture
Your data is yours. ComplianceMux redacts PII on every external AI call. Do-not-train enforced on every provider. Pre-deploy gate verifies it on every release.
Step-by-Step First Move
Today's one clear action surfaced on your Daily Huddle. The next decision, not a roadmap of fifty.
Depth-on-Demand Reasoning
Every recommendation comes with a 'show me the thinking' click. The reasoning, the source, the alternatives we considered.
Institutional-Reputation Safety
Your university's conflicts + tech-transfer policy referenced on every high-stakes decision. Boundaries surfaced before you cross one.
When you need it, your co-founder delivers.
See the first year, day one to year one
Day 1: Form the entity.
Delaware C-Corp by default for venture-track; LLC available. EIN application filed, bank account opened, registered agent appointed, certified mail address established, governance documents drafted.
Day 1 to Day 30: The 83(b) window.
The single most common founder mistake, automated away. We surface the deadline the moment your shares are issued, draft the letter, file it via certified mail, store the receipt in your Vault.
Week one onward: Daily Huddle.
A two-minute morning briefing built from your real data. What is due, what moved overnight, what needs your attention, what does not. Voice-first or read-it.
Month one onward: Books from day one.
Double-entry accounting, automatic categorization, bank reconciliation, monthly close. You can export to QuickBooks or Xero whenever, on terms you control. We are the bookkeeper of record.
Quarter one onward: Compliance posture.
Every federal, state, and local deadline tracked. Annual report. Franchise tax. R&D credit eligibility. Section 174 capitalization. Nothing slips. Nothing surprises.
Ongoing: Pitch Grader, Tri-Score, Founder Hats.
When you are ready to raise (if you are raising), Pitch Grader scores your deck against fundability signals. Tri-Score tracks Strategy, Execution, Operational Readiness continuously. Founder Hats maps every role you end up wearing, what we cover, what a partner could cover, what only you can wear.
These are the six beats most lab-to-company researchers trip on. CR3SCENDO AI is its own first customer (Customer Zero is a Prime Directive); the platform shape you see is the shape we use to run ourselves.
The reality. Handled.
A lab to run, a company to form, a prior-inventions schedule, and privacy that actually holds.
CR3SCENDO AI handles the company side, so you stay at the bench.
Frequently asked
Questions from researchers
Questions from researchers who are converting their work into a company. Surfaced from real conversations with PhD researchers at Stanford and elsewhere. The shape of these answers reflects three things the cohort cares about most: privacy and data sovereignty, a step-by-step first move, and the ability to pull on the thread of any recommendation we make to see the reasoning behind it.
Will CR3SCENDO AI use my data to train AI models?
No. Your company data is yours. We do not feed it into training pipelines for our models or anyone else's. Every external AI call that touches your data routes through our ComplianceMux layer, which redacts PII before any third-party provider sees it. The contracts we have with the AI providers we use carry a "do not train" posture on our traffic. Our pre-deploy gate verifies the redaction layer is active on every release. This is non-negotiable and applies to every customer on every plan, not a paid upgrade.
What is the first concrete step?
Entity formation. Everything else flows from there: the EIN application, the bank account, the cap table, the books, the compliance calendar, the registered agent. You do not need to be a corporate lawyer or an accountant to start. You answer a short series of plain-English questions (state, structure, founders, equity split), we draft the documents, we surface anything that needs your decision, you approve. The Secretary of State filing happens on your behalf. We track every deadline that just got created (83(b), state annual report, federal filings) and surface them on your Daily Huddle. That is the first day. Day two onward, the company runs on Nexus.
How do you protect my IP and my prior inventions?
Two layers. First, the Vault: anything sensitive (founder agreements, IP assignment paperwork, prior-inventions schedules, patent filings, licensing terms with your institution) is stored with column-level AES-256-GCM encryption, behind a PIN that even we cannot bypass. Operations that decrypt sensitive data require re-authentication within the last 60 seconds. Second, the IP assignment workflow itself surfaces the question of prior inventions BEFORE you sign anything. You declare what existed before the company; that schedule attaches to the founder IP assignment. We never auto-assign prior work to the new entity. You see it. You sign it. You own the audit trail.
I work at Stanford / MIT / a research institution. Does this conflict with my institutional COI policy?
Depends on your institution. We are NOT a substitute for institutional COI (conflict-of-interest) guidance. Every research university has its own policy on outside startups, the percentage of effort allowed, IP ownership boundaries, and disclosure requirements. You should talk to your institution's COI office, your department chair, and your tech-transfer office before you form a company that touches your research area. What CR3SCENDO AI does: keep your founder records, equity grants, and time-on-company-versus-time-on-institution cleanly tracked so that when you DO need to disclose, the receipts are in one place and exportable in one click. The disclosure conversation is between you and your institution. We make sure the data behind that conversation is clean.
What if I want to be an advisor on the company, not a co-founder?
We support both shapes. The advisor template uses the FAST agreement (Founder / Advisor Standard Template, originally from the Founder Institute) with the equity variant for an advisor taking a small equity grant on a vesting schedule, or the non-equity variant where the advisor receives nothing and signs a lighter agreement. The platform drafts both, surfaces the choice, and lets the company you are advising sign on your behalf with the right governance seal. You can be an advisor to a company on Nexus, a co-founder on a different company on Nexus, and operate both from the same login. The serial-entrepreneur and serial-advisor shape is first-class, not an edge case.
Can you show me HOW you arrived at a recommendation?
Yes. This is the binding cohort UX shape, not a feature toggle. Every recommendation CR3SCENDO AI makes carries a decision-ledger trust receipt: the data we looked at, the rules we applied, the alternatives we considered, the reason we picked the recommendation we picked, and what would change the answer if the underlying data shifted. The receipt is shallow by default (one paragraph; keeps you moving) and deep on demand (full reasoning trace, source data references, model and prompt version, alternative outcomes scored). Pull the thread when you want to. We will show you the work.
How can I learn from other researcher-founders without giving up my data?
Through the Cohort Benefit Policy. The default is: your data stays private to you. Period. Separately, and only with your explicit opt-in at sign-up, we aggregate anonymized signals across the platform (which compliance patterns work, what equity splits researcher-founders actually choose, how the formation timeline plays out for a typical lab-to-company transition) and surface those as benchmarks you can compare your situation against. You see what your peers did. They see what you did. Nobody sees identifying data. You can opt out at any time, retroactively (your historical signal is removed from future aggregates) and prospectively. The point is to make the cohort smarter together, on your terms.
Can I export everything if I leave?
Yes. One click, full export. You get your formation documents, your books in standard formats (CSV plus QuickBooks-compatible IIF), your cap table, your audit trail, your Vault contents (re-encrypted under a key you provide), your customer records. No lock-in clause buried in our Terms of Service. No "sorry, your data is in a proprietary format we cannot export." The Sovereignty tenet is one of our five Prime Directives, alongside Privacy, Financial Integrity, Agency, and Customer Zero. You own your data. Always. We are the keeper, not the owner.
Will the platform handle my domain language (astrophysics, bio, ML research) correctly when I onboard customers?
Yes, and with caveats worth surfacing. Customer-facing surfaces (your landing pages, your customer records, your contracts) speak your domain language faithfully because we copy verbatim what you give us, never paraphrase domain terminology. Outbound AI assistance (drafting a follow-up email, summarizing a call) uses our ComplianceMux to redact PII before any external model sees it AND uses our prompt-engineering layer to preserve technical terminology. If a model is about to substitute a domain term with a more generic word, the validation layer flags it. That said, no AI is perfect on niche technical vocabulary, so the depth-on-demand affordance always lets you see exactly what was drafted, what was changed, and approve or override before it goes out.
What does this cost for a researcher pre-revenue?
Less than what you spend on coffee a month, pre-revenue. We have not published a hard dollar figure yet (we are pre-GA), but the pricing philosophy is binding: every customer gets every capability, and our liminal-mode pricing exists specifically so a pre-revenue founder is not charged like a Series A founder. A researcher exploring whether their lab work could be a company falls squarely in the liminal band. As the company grows, the price grows with it, on a path you can see, with thresholds you can configure. No surprise invoices.
From the lab to the company.
The bench taught you to show your work. So does CR3SCENDO. Every recommendation, every filing, every dollar moved: traceable to the reasoning behind it. You are not handing your judgment to a black box.
“Stay rigorous. Stay sovereign. Stay in motion.”